Ravi Soni

According to our database, Ravi Soni authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SAS: Segment Anything Small for Ultrasound - A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging.

Danielle Lopes Ferreira, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni, Gopal Avinash

CoRR, March, 2025

SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint.

Danielle Lopes Ferreira, Bruno Astuto A. Nunes, Xuzhe Zhang, Laura Carretero Gomez, Maggie Fung, Ravi Soni

CoRR, February, 2025

MOSS: Learning from Multiple Organs Via Self-Supervision.

Mohammad Reza Hosseinzadeh Taher, Junpyo Hong, Ravi Soni, Gopal Avinash

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

SynthFM: Training Modality-Agnostic Foundation Models for Medical Image Segmentation Without Real Medical Data.

Sourya Sengupta, Satrajit Chakrabarty, Keerthi Sravan Ravi, Gopal Avinash, Ravi Soni

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Is SAM 2 Better than SAM in Medical Image Segmentation?

Sourya Sengupta, Satrajit Chakrabarty, Ravi Soni

CoRR, 2024

Enhancing 3D Cardiac CT Segmentation with Latent Diffusion Model and Self-Supervised Learning.

Quanqi Hu, Ashok Vardhan Addala, Masaki Ikuta, Ravi Soni, Gopal Avinash

Proceedings of the Machine Learning for Health, 2024

2023

Diffusion Model-Based Data Augmentation for Lung Ultrasound Classification with Limited Data.

Xiaohui Zhang, Ahana Gangopadhyay, Hsi-Ming Chang, Ravi Soni

Proceedings of the Machine Learning for Health, 2023

Curriculum Self-Supervised Learning for 3D CT Cardiac Image Segmentation.

Mohammad Reza Hosseinzadeh Taher, Masaki Ikuta, Ravi Soni

Proceedings of the Machine Learning for Health, 2023

2022

Guest Editorial Artificial Intelligence in Pre-DICOM.

Tao Tan, Ravi Soni, Jungong Han, Shuo Li

IEEE J. Biomed. Health Informatics, 2022

Multi-modal trained artificial intelligence solution to triage chest X-ray for COVID-19 using pristine ground-truth, versus radiologists.

Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Hongxu Yang, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash

Neurocomputing, 2022

Adversarial Focal Loss: Asking Your Discriminator for Hard Examples.

Chen Liu, Xiaomeng Dong, Michael Potter, Hsi-Ming Chang, Ravi Soni

CoRR, 2022

2021

Pristine Annotations-Based Multi-modal Trained Artificial Intelligence Solution to Triage Chest X-Ray for COVID-19.

Tao Tan, Bipul Das, Ravi Soni, Mate Fejes, Sohan Ranjan, Daniel Attila Szabo, Vikram Melapudi, K. S. Shriram, Utkarsh Agrawal, László Ruskó, Zita Herczeg, Barbara Darázs, Pal Tegzes, Lehel Ferenczi, Rakesh Mullick, Gopal Avinash

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Transformer Based Language Models for Similar Text Retrieval and Ranking.

Javed Qadrud-Din, Ashraf Bah Rabiou, Ryan Walker, Ravi Soni, Martin Gajek, Gabriel Pack, Akhil Rangaraj

CoRR, 2020

2019

D3MC: A Reinforcement Learning Based Data-Driven Dyna Model Compression.

Jiahui Guan, Ravi Soni, Dibyajyoti Pati, Gopal Avinash, V. Ratna Saripalli

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

HMC: A Hybrid Reinforcement Learning Based Model Compression for Healthcare Applications.

Ravi Soni, Jiahui Guan, Gopal Avinash, V. Ratna Saripalli

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019